Airbus India Private Limited
ArtificialIntelligenceforFlightControlLawsInternship
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“Artificial Intelligence for Flight Control Laws Internship at Airbus India Private Limited. Skills: Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG). Load, structure, integrate historical document databases. Build and tune conversational chatbot interface”
What You'll Achieve.
enhance operational efficiency; decision-making quality
Industry & Context.
root cause analysis
data privacy, local hosting requirements
What They're Looking For.
Must Have
Python, Large Language Models (LLMs), Time-Series Analysis, Google Cloud Platform (GCP), Data Engineering
Nice to Have
Retrieval-Augmented Generation (RAG), local GPU on-premise environments
What You'll Do.
integrate historical document databases
Build and tune conversational chatbot interface
Connect and ingest live data streams
Implement and test Retrieval-Augmented Generation (RAG)
Support deployment within secure environments
How You'll Work.
Team & Collaboration
work within a multidisciplinary team
Communication Scope
translate technical failures into sophisticated draft paragraphs
Full Job Description
****Job Description:**** We are seeking a highly motivated Intern to support the development and deployment of an **Integrated Knowledge and Reporting Platform**. This role focuses on bridging the gap between manual engineering analysis and automated, AI-driven solutions. You will work at the intersection of data science, natural language processing, and real-time data integration to enhance operational efficiency and decision-making quality. **Key Responsibilities** * **Knowledge Engineering:** Load, structure, and integrate historical document databases and discussion records into a centralized AI environment. * **AI Development:** Assist in building and tuning a conversational chatbot interface capable of "real-time analysis" and automated drafting. * **Data Integration:** Connect and ingest live, time-based data streams for automated trend and root-cause analysis. * **Performance Optimization:** Implement and test **Retrieval-Augmented Generation (RAG)** techniques to ensure high-quality outputs and minimize system errors. * **Risk & Security:** Support the deployment of solutions within secure, compliant environments, focusing on data privacy and local hosting requirements. **Ideally, this is a**6-month program** and it should start in July 2026 ** **(date subject to flexibility).** **Required Skills & Qualifications** Technical Skills * **Data Science & AI:** Proficiency in Python and Large Language Models (LLMs). Familiarity with **Retrieval-Augmented Generation (RAG)** is highly desirable for failure justification tasks. * **Time-Series Analysis:** Ability to process and interpret time-based engineering data to identify trends and root causes (e.g., distinguishing between turbulence and model reaction time). * **Cloud & DevOps:** Familiarity with **Google Cloud Platform (GCP)** or local GPU on-premise environments for model deployment. * **Data Engineering:** Skills in structuring unstructured data from historical documents into a searchable, machine-readabl
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